Association between first-trimester chorionic bump and early pregnancy loss: a two-center retrospective study with exploratory radiomics analysis.

IF 3.9 3区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Jie Shen, Yipeng Zhao, Zhina Wu, Yizhi Wu, Bishi He, Zhe Xu, Nannan Chen, Junmiao Xiang
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引用次数: 0

Abstract

Introduction: The chorionic bump (CB) is a rare sonographic finding defined as an irregular protrusion from the choriodecidual surface into the gestational sac. Its prognostic significance regarding pregnancy loss remains controversial. This study aimed to evaluate the association between first-trimester CB and pregnancy outcomes and to investigate whether ultrasonographic radiomic features can support early risk stratification.

Methods: This two-center retrospective study included 184 women diagnosed with a CB and 1052 matched controls between January 2020 and December 2024. All participants underwent transvaginal ultrasound at 5-10 weeks of gestation. Radiomic features were extracted from regions of interest using PyRadiomics. Furthermore, logistic regression, support vector machine (SVM), and random forest (RF)-alongside SHAP analysis, were employed to analyze the ultrasonographic radiomic features.

Results: Sonographically, CB exhibited variable echogenicity and an absence of internal blood flow on color Doppler flow imaging. While no significant differences were found in other secondary pregnancy outcomes, CB was strongly associated with early pregnancy loss. Following feature selection, the optimized RF_Sel model achieved an AUROC of 0.573, accuracy of 0.538, and a precision of 0.539. SHAP analysis identified "original_firstorder_Minimum" (first-order minimum intensity) as the feature with the highest decision-making value. Furthermore, lower grayscale minimum intensity on ultrasound, smaller gestational sac (GS) volume, and a higher CB-to-GS volume ratio were identified as significant risk factors for pregnancy loss within the CB population.

Conclusions: A first-trimester CB is a significant high-risk factor for early pregnancy loss. However, the radiomics-based model demonstrated limited predictive performance, indicating that radiomic features alone are currently insufficient for clinical risk stratification and should be considered hypothesis-generating. The early sonographic identification of a CB remains vital for assessing clinical risk and guiding obstetric management.

孕早期绒毛膜肿块与早期妊娠丢失之间的关系:一项带有探索性放射组学分析的双中心回顾性研究。
简介:绒毛膜肿块(CB)是一种罕见的超声发现,定义为从绒毛膜表面不规则地突出到妊娠囊。其对妊娠损失的预后意义仍有争议。本研究旨在评估妊娠早期CB与妊娠结局之间的关系,并探讨超声影像放射学特征是否可以支持早期风险分层。方法:这项双中心回顾性研究包括184名诊断为CB的女性和1052名匹配的对照组,时间为2020年1月至2024年12月。所有参与者在妊娠5-10周时接受阴道超声检查。使用PyRadiomics从感兴趣的区域提取放射组特征。此外,采用逻辑回归、支持向量机(SVM)和随机森林(RF)结合SHAP分析对超声影像放射学特征进行分析。结果:超声检查,CB表现为可变回声,彩色多普勒血流显像无内部血流。虽然在其他继发性妊娠结局中没有发现显著差异,但CB与早期妊娠流产密切相关。经过特征选择,优化后的RF_Sel模型AUROC为0.573,准确率为0.538,精密度为0.539。SHAP分析发现“original_firstorder_Minimum”(一阶最小强度)是具有最高决策价值的特征。此外,较低的超声灰度最小强度、较小的妊娠囊(GS)体积和较高的妊娠囊/孕囊体积比被认为是妊娠丢失的重要危险因素。结论:妊娠早期CB是早期妊娠流产的重要高危因素。然而,基于放射组学的模型显示出有限的预测性能,表明目前仅放射组学特征不足以进行临床风险分层,应考虑假设生成。早期超声识别的CB仍然是至关重要的评估临床风险和指导产科管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
BMC Medical Imaging
BMC Medical Imaging RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
4.60
自引率
3.70%
发文量
198
审稿时长
27 weeks
期刊介绍: BMC Medical Imaging is an open access journal publishing original peer-reviewed research articles in the development, evaluation, and use of imaging techniques and image processing tools to diagnose and manage disease.
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